Mon Oct 13, F. Flechtner
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Vishwakarma, Bramha Dutt, Devaraju, Balaji, and Sneeuw, Nico, 2018. What Is the Spatial Resolution of GRACE Satellite Products for Hydrology?. Remote Sensing, 10(6):852, doi:10.3390/rs10060852.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2018RemS...10..852V,
author = {{Vishwakarma}, Bramha Dutt and {Devaraju}, Balaji and {Sneeuw}, Nico},
title = "{What Is the Spatial Resolution of GRACE Satellite Products for Hydrology?}",
journal = {Remote Sensing},
keywords = {GRACE, filtering, signal leakage, spatial resolution, hydrology},
year = 2018,
month = may,
volume = {10},
number = {6},
eid = {852},
pages = {852},
abstract = "{The mass change information from the Gravity Recovery And Climate
Experiment (GRACE) satellite mission is available in terms of
noisy spherical harmonic coefficients truncated at a maximum
degree (band-limited). Therefore, filtering is an inevitable
step in post-processing of GRACE fields to extract meaningful
information about mass redistribution in the Earth-system. It is
well known from previous studies that a number can be allotted
to the spatial resolution of a band-limited spherical harmonic
spectrum and also to a filtered field. Furthermore, it is now a
common practice to correct the filtered GRACE data for signal
damage due to filtering (or convolution in the spatial domain).
These correction methods resemble deconvolution, and, therefore,
the spatial resolution of the corrected GRACE data have to be
reconsidered. Therefore, the effective spatial resolution at
which we can obtain mass changes from GRACE products is an area
of debate. In this contribution, we assess the spatial
resolution both theoretically and practically. We confirm that,
theoretically, the smallest resolvable catchment is directly
related to the band-limit of the spherical harmonic spectrum of
the GRACE data. However, due to the approximate nature of the
correction schemes and the noise present in GRACE data,
practically, the complete band-limited signal cannot be
retrieved. In this context, we perform a closed-loop simulation
comparing four popular correction schemes over 255 catchments to
demarcate the minimum size of the catchment whose signal can be
efficiently recovered by the correction schemes. We show that
the amount of closure error is inversely related to the size of
the catchment area. We use this trade-off between the error and
the catchment size for defining the potential spatial resolution
of the GRACE product obtained from a correction method. The
magnitude of the error and hence the spatial resolution are both
dependent on the correction scheme. Currently, a catchment of
the size {\ensuremath{\approx}}63,000 km2 can be resolved at an
error level of 2cm in terms of equivalent water height.}",
doi = {10.3390/rs10060852},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018RemS...10..852V},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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